We consider the problem of wavelet compression in the context of portable performance
over multiple architectures. We contribute a new implementation of the wavelet transform …

Modern medical image diagnostic are often based on X-ray, computerized tomography and
magnetic resonance imaging technique. The raw data delivered by such imaging devices …

In this study, to improve the speed of the lifting-based discrete wavelet transform (DWT) for
large-scale data, we propose a parallel method that achieves low memory usage and highly …

Zero latency convolution typically uses the Direct Form approach, requiring a large amount
of computational resources for every additional sample in the impulse response. A number …

The numerous medical images generated by various imaging devices require a huge
amount of storage space and minimum transmission bandwidth. So, it is necessary to use an …

Summarization and compression at current and future scales requires a framework for
developing and benchmarking algorithms. We present a framework created by integrating …

This review paper is based on medical image compression using various image
compression techniques. In this paper comparative analysis of different compression …

Acoustic communication is influenced by several factors like as Doppler spread, high delay,
noise, path loss, delay variance, and multipath fading issues. The major cause is fading …

The wavelet tree is a highly efficient data structure that enables quick storage and retrieval of
information from large datasets. It is particularly useful for indexing and summarizing data …

Medical imaging is a technique of generating images representing the anatomy of the body
as well as the functioning of some organs or tissues for clinical interpretations and medical …